Data Scientist
Location: GB, LND, London
Department: Engineering
Salary range: 40000-50000
Employment type: Full-time
Required experience: Mid-Senior level
Required education: Master's Degree
Industry: Internet
Function: Data Analyst

Company profile:
Founded in 2010 by a team from Google’s London and New York offices, Qubit work with some of the biggest names in Online. Our engineers have built a brand new platform that combines a number of technologies – analytics, automation, personalisation and more – into a simple, easy-to-use product.We’re not the only ones excited about our brand new approach to solving the problems of modern e-Commerce. Wired magazine named Qubit as one of the top 5 hottest startups in London. We’ve raised $7.5 million in Series A funding from one of the UK’s biggest venture capitalists! Come and join the growing team as we embark on the most exciting chapter in Qubit’s history.Although we’ve now grown to more than 90 people, we’re keen on keeping our culture as relaxed and open as when there were only 5 of us. Our offices have table football, kitchen full of fruit and other snacks, never ending coffee supply, dinner service and lots of other startup perks. More importantly we’re a focused and determined team preparing to double in size during 2014!

Job description:
Qubit: Cutting Edge Big Data EngineeringQubit has a brand new platform that aims to personalize web sites based on individual behaviour. Our tools help companies serve personalized content to their website-users, ensuring each visitors gets the best possible experience. We’re looking for a Data Scientist to join our research team to help us develop predictive algorithms, and conduct cutting-edge research into consumer behaviour on the web.This is an opportunity to conduct real R&amp;D into human behaviour using our extensive databases. Our data collection tools store more than 1 billion data points every day. Overall, Qubit technology tracks the journey leading to billions of pounds of online spending worldwide every year. That’s plenty of raw data for training machine learning algorithms, Bayesian models etc...We’re looking for someone smart and motivated with experience applying statistical and machine learning techniques to data analysis problems. As part of our research team you’ll help to understand our ever growing dataset, working closely with other parts of the business to ensure our products have an edge when it comes to predicting online behaviour.What You’ll DoingJoining a small team of Data Scientists at a fast growing company with plenty of opportunities to have a big impactConducting pure research and developing that research into real products used by some of the top names in online retail such as Arcadia Group, Thomas Cook and John LewisBuilding statistical models and applying machine learning/artificial intelligence techniques to understand consumer behaviour onlineCarrying out modelling of customer behaviours to help us better understand how online retail should work and how to deliver the best experience to our clients' users

Requirements:
What You'll NeedAt least one of:A PhD with a large data-analysis and statistics component (e.g. Genetics, Machine Learning, High Energy Physics etc…)A MSc in Applied Statistics, Machine Learning or similarExceptional commercial data science experienceExperience conducting data analysis on TB+ scale datasetsExperience applying statistical techniques and machine learning algorithms to extract insights from real dataExperience applying Bayesian statistical techniques desirableStrong technical skills, experience with at least some of Python, R, Hadoop, Hive, SQL and Java is desirableAbility to clearly communicate complex research findings with non-technical team members and clients

Benefits:
Plenty of perksAs well as the opportunity to solve complex problems in this exciting new era of big data, here’s what we offer:Realistic performance related bonusesGenerous equity options mean you’ll own a piece of the pieExcellent health and dental insurance packagesA relaxed approach to time off and enough holidays to see several corners of the worldFridge fully stocked with healthy snacks and the ultimate espresso machine for your java fixA competitive office where we play foosball, football, scrabble, go-karting… you name it, we’ll play itThank Qubit it’s Friday – we have lots of creative ways to let off steam at the end of the weekPlenty of opportunities for training and development